- Support the design, development, and maintenance of ongoing performance metrics, reports and dashboards to drive key business decisions
- Support deep dive analyses of business problems and formulate conclusions and recommendations to be presented to senior leadership
- Setup and execute processes for performing exploratory data analysis to unearth insight or patterns that can be used to drive operational efficiency and growth opportunities
- Enhance intelligence frameworks and analyses using advanced data modelling techniques
- Establish reporting standards and engage data engineering to deliver automated solutions, where possible
- Simplify and automate reporting and other data-driven activities; build solutions to have maximum scale and self-service ability by stakeholders
- Leverage Amazon infrastructure and tools to improve back-end data sources for increased accuracy and simplicity
BASIC QUALIFICATIONS
- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience
- Experience with data visualization using Tableau, Quicksight, or similar tools
- Experience with data modeling, warehousing and building ETL pipelines
- Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling
- Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business
PREFERRED QUALIFICATIONS
- Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift
- Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets
- Experience in Statistical Analysis packages such as R, SAS and Matlab